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“Digital Twin” project: with big data, healthcare is more sustainable

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VALUE for citizens, value for professionals, value for the policy that must make choices in health care. All together, this can constitute the data and information produced every day by the healthcare companies in our area, but an efficient digital system is needed to extract knowledge. The cycle of interviews of “Roche Now”, the talk dedicated to the medicine of the future led by Ennio Tasciotti, scientist and expert in medical biotechnologies, is restarting. That in this new “episode” interview Mattia Altini, president of the Italian Society of Leadership and Management in Medicine (SIMM) and health director of the Romagna AUSL, to concretely understand how big data can be a tool to put the citizen at the center. “We need the citizen to be at the center of the system, we need proximity, services that are inclusive and reach the recipients sooner and better”, says Altini, who believes that a digital system can be the lever to collect from health professionals that information to better manage the pathologies of the “users”.

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An example is precisely what has been achieved in the Romagna AUSL. “In a very large area, with many professionals and many hospitals, we were able to systematize the possibility that the patient was included in our services in an inclusive way”, explains Altini. “In other words, we have given all professionals involved in patient care access to a computerized medical record, which can be consulted and modified by entering data at each level of the path. We have called this processing digital twin, digital twin ”.

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With the analysis and interpretation of the data it is possible to affect the performance of the treatment path and the sustainability of the system, identifying best practices, eliminating downtime, managing the timing of care. “In the absence of data analysis, we do not align what we need with the resources we are moving”, explains Altini. Thus, the same amount of resources used can have excellent, good or null outcomes depending on the timing with which a certain therapy is applied within the treatment path. And to identify the correct therapeutic window, an analysis of the pathways in terms of times and methods is needed.

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No fear that big data and technology will depersonalize medicine: they will change the way healthcare and professionals relate to citizens, leaving even more time and space for human interaction.

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